Usability analysis of 3D rotation techniques
Proceedings of the 10th annual ACM symposium on User interface software and technology
A study in interactive 3-D rotation using 2-D control devices
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Proceedings of the seventh international conference on 3D Web technology
Technical Section: Semantics-driven best view of 3D shapes
Computers and Graphics
The adaptive web
Annotating named entities in Twitter data with crowdsourcing
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Crowdsourced automatic zoom and scroll for video retargeting
Proceedings of the international conference on Multimedia
A benchmark for best view selection of 3D objects
Proceedings of the ACM workshop on 3D object retrieval
Combining content-based analysis and crowdsourcing to improve user interaction with zoomable video
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Mobile interactive region-of-interest video streaming with crowd-driven prefetching
IMMPD '11 Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices
Semantics-driven approach for automatic selection of best views of 3D shapes
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
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In this paper, we propose to build semantic links between a product's textual description and its corresponding 3D visualization. These links help gathering knowledge about a product and ease browsing its 3D model. Our goal is to support the common behavior that when reading a textual information of a product, users naturally imagine how it looks like in real life. We generate the association between a textual description and a 3D feature from crowdsourcing. A user study of 82 people assesses the usefulness of the association for subsequent users, both for correctness and efficiency. Users are asked to perform the identification of features on 3D models; from the traces, associations leading to recommended views are derived. This information (recommended view) is proposed to subsequent users for performing the same task. Whereas the associations could be simply given by an expert, crowdsourcing offers advantages: we have inexpensive experts in the crowd as well as a natural access to users' (eg. customers') preferences and opinions.